Data Engineer
Inficare
Job Title: Data Engineer Location: Phoenix, AZ (Day 1 Onsite) Job Type: Contract - Long Term Experience: 5+ years
Job Overview Our client is seeking an experienced Data Engineer with deep expertise in database architecture, cloud technologies, and data engineering. The ideal candidate will have hands-on experience building scalable data pipelines and data platforms, strong SQL and data modeling skills, Python proficiency, and exposure to AI/ML and Generative AI technologies. This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions.
Key Responsibilities
Engagement Details Long-term contract engagement. To apply, please share your updated resume along with your availability and location details.
Job Overview Our client is seeking an experienced Data Engineer with deep expertise in database architecture, cloud technologies, and data engineering. The ideal candidate will have hands-on experience building scalable data pipelines and data platforms, strong SQL and data modeling skills, Python proficiency, and exposure to AI/ML and Generative AI technologies. This role collaborates closely with application architects, cloud engineers, data scientists, and development teams to deliver reliable, secure, and high-performance data solutions.
Key Responsibilities
- Design and define enterprise-level database architectures, standards, patterns, and best practices
- Evaluate and select relational, NoSQL, and cloud-native database technologies based on business requirements
- Design scalable solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
- Optimize database performance through query tuning, indexing, partitioning, and capacity planning
- Establish database security standards including encryption, access controls, auditing, and compliance
- Use Python for scripting, automation, data processing, and validation tasks
- Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns
- Create and maintain architecture diagrams, technical documentation, and design decisions
- Provide technical leadership, architecture reviews, and mentoring to engineering teams
- Strong experience in database architecture, database engineering, or database administration
- Deep understanding of relational database concepts - SQL, data modeling, normalization, indexing, transactions, performance optimization
- Experience with PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent platforms
- Hands-on experience with AWS, Azure, or GCP managed database services
- Basic to intermediate Python skills for scripting, automation, and data processing
- Experience designing or supporting database migration and modernization initiatives
- Understanding of cloud architecture - scalability, high availability, security, monitoring, and disaster recovery
- Familiarity with AI/ML and Generative AI - vector databases, embeddings, semantic search, LLMs, and RAG
- Experience with Infrastructure as Code and DevOps/CI/CD practices
- Knowledge of database observability, monitoring, and automated operations
- Experience with data governance, security, privacy, and regulatory requirements
- Exposure to AI/ML platforms and cloud-based AI services
- Experience supporting large-scale, high-volume, highly available enterprise systems
Engagement Details Long-term contract engagement. To apply, please share your updated resume along with your availability and location details.
Vacancy posted 5 days ago
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